Unit 1621: Research Methods in Public Health

1. Introduction to Research Methods in Public Health

• Importance of research in public health
• Overview of research designs
  • Descriptive
  • Analytical
  • Experimental
• Ethical considerations in public health research
  • Informed consent
  • Confidentiality
  • Risk-benefit analysis

2. Quantitative Research Methods in Public Health

• Overview of quantitative methodologies
• Surveys
  • Design and development
  • Sampling and administration
• Experimental studies
  • Randomized controlled trials (RCTs)
  • Quasi-experimental designs
• Observational studies
  • Cohort studies
  • Case-control studies
  • Cross-sectional studies
• Data collection techniques
• Data analysis and interpretation
  • Use of statistical software
  • Understanding p-values and confidence intervals

3. Qualitative Research Methods in Public Health

• Introduction to qualitative research
• Techniques
  • In-depth interviews
  • Focus groups
  • Content and thematic analysis
• Data collection processes
• Data analysis methods
  • Coding and categorization
  • Use of qualitative data analysis software
• Interpretation and validation of qualitative data

4. Mixed Methods Research in Public Health

• Definition and rationale for mixed methods
• Types of mixed methods designs
  • Convergent parallel
  • Explanatory sequential
  • Exploratory sequential
• Benefits and challenges
• Best practices for integration of data

5. Sampling Methods in Public Health Research

• Importance of representative sampling
• Probability sampling techniques
  • Simple random sampling
  • Systematic sampling
  • Stratified sampling
  • Cluster sampling
• Non-probability sampling techniques
  • Convenience sampling
  • Purposive sampling
  • Snowball sampling
• Sample size determination
  • Power analysis
  • Effect size considerations

6. Data Collection Tools and Techniques in Public Health

• Overview of tools
  • Surveys and questionnaires
  • Interviews
  • Focus groups
  • Health assessments and screenings
• Designing effective data collection instruments
• Implementation strategies
• Ensuring reliability and validity

7. Data Analysis in Public Health Research

• Descriptive statistics
  • Measures of central tendency
  • Measures of dispersion
• Inferential statistics
  • Hypothesis testing
  • Chi-square tests
  • t-tests and ANOVA
• Regression analysis
  • Linear regression
  • Logistic regression
• Interpretation and presentation of findings
  • Tables, graphs, and charts
  • Writing results sections

8. Research Ethics and Institutional Review Boards (IRBs) in Public Health

• Ethical principles
  • Respect for persons
  • Beneficence
  • Justice
• Protection of human subjects
• Confidentiality and data security
• Conflicts of interest
• Role and function of IRBs
  • Submission process
  • Monitoring and compliance

9. Dissemination of Research Findings in Public Health

• Importance of dissemination
• Strategies for effective communication
  • Academic publications
  • Policy briefs
  • Community presentations
  • Media and social media
• Knowledge translation frameworks
• Impact on policy and practice